Mastering Transformers - Second Edition

The Transformer-based language models such as BERT, T5, GPT, DALL-E, ChatGPT have dominated natural language processing studies and become a new paradigm. Understand and be able to implement multimodal solutions including text-to-image. Computer vision solutions that are based on Transformers are also explained in the book. Thanks to their accurate and fast fine-tuning capabilities, Transformer-based language models outperformed traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems. Apart from NLP, recently a fast-growing area in multimodal learning and generative AI has been established which shows promising results. Dalle and Stable diffusions are examples of it. Developers working with The Transformers architecture will be able to put their knowledge to work with this practical guide to NLP. The book provides a hands-on approach to implementation and associated methodologies in the field of NLP that will have you up-and-running, and productive in no time. Also, developers that want to learn more about multimodal models and generative AI in the field of computer vision can use this book as a source.